Predict.matrix.cr.smooth {mgcv} | R Documentation |

## Predict matrix method functions

### Description

The various built in smooth classes for use with `gam`

have associate `Predict.matrix`

method functions to enable prediction from the fitted model.

### Usage

```
## S3 method for class 'cr.smooth'
Predict.matrix(object, data)
## S3 method for class 'cs.smooth'
Predict.matrix(object, data)
## S3 method for class 'cyclic.smooth'
Predict.matrix(object, data)
## S3 method for class 'pspline.smooth'
Predict.matrix(object, data)
## S3 method for class 'tensor.smooth'
Predict.matrix(object, data)
## S3 method for class 'tprs.smooth'
Predict.matrix(object, data)
## S3 method for class 'ts.smooth'
Predict.matrix(object, data)
## S3 method for class 't2.smooth'
Predict.matrix(object, data)
```

### Arguments

`object` |
a smooth object, usually generated by a |

`data` |
A data frame containing the values of the (named) covariates at which the smooth term is to be
evaluated. Exact requirements are as for |

.

### Details

The Predict matrix function is not normally called directly, but is rather used internally by `predict.gam`

etc.
to predict from a fitted `gam`

model. See `Predict.matrix`

for more details, or the specific
`smooth.construct`

pages for details on a particular smooth class.

### Value

A matrix mapping the coeffients for the smooth term to its values at the supplied data values.

### Author(s)

Simon N. Wood simon.wood@r-project.org

### References

Wood S.N. (2017) Generalized Additive Models: An Introduction with R (2nd edition). Chapman and Hall/CRC Press.

### Examples

```
## see smooth.construct
```

*mgcv*version 1.9-1 Index]